%0 Journal Article %A kazemi, sima %A mohammadi, mohammad %A yaghobi, normohammad %A jarahi, jalil %T Identifying the Components of Staffing System Based on Knowledge-Based Organizational Civilization in Universities of Medical Sciences: A Qualitative Study %J Journal of Health Promotion Management %V 10 %N 1 %U http://jhpm.ir/article-1-1171-en.html %R %D 2021 %K University of Medical Sciences, Knowledge-Based, Organizational Civilization, Staffing, Content Analysis, Qualitative Study. undefined, %X Introduction: One of the most important tasks of human resource management is to staffing system. Improving and developing human resources with a knowledge-based approach is one of the main goals of third millennium organizations. Therefore, the aim of this study was to identify the components of staffing system based on knowledge-based organizational civilization in medical universities. Methods: This research is a qualitative study with content analysis approach that was conducted with the participation of 16 lectures of health services management, managers of medical universities and teachers of the Department of Public Administration in Birjand. Interviews were semi-structured and individual meetings were held. Data were analyzed by content analysis method using MAXQDA.12. Results: After content analysis, 10 main themes and 44 sub-themes were identified, which based on the highest frequency, including continuous learning, committed employees, creative and innovative employees, knowledge employees, ethical employees, learning ability, meritocracy, competitiveness, intellectual capital, and knowledge management. Conclusion: The most important factors in staffing are the components of continued learning, committed employees, creative and innovative employees, and knowledge-oriented staff. Therefore, in order to create a knowledge-based organizational civilization in universities of medical sciences, these components should be considered in Supply human resources. %> http://jhpm.ir/article-1-1171-en.pdf %P 47-59 %& 47 %! %9 Research %L A-10-1518-1 %+ %G eng %@ 2251-8614 %[ 2021